Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance.
About the Author: Julie Steele is an Editor at O'Reilly currently working on titles related to Python, SQL, PHP, web frameworks and CMS, databases (relational and non-relational), big data and cloud computing, and data visualization.
415 Pages
Computers + Internet, Data Science
Description
About the Book
From a familiar map of the New York City subway system to a diagram of the human brain, "Beautiful Visualization" demonstrates how images can help both detect and explain patterns.
Book Synopsis
Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.
This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world.
Explore the importance of storytelling with a simple visualization exercise
Learn how color conveys information that our brains recognize before we're fully aware of it
Discover how the books we buy and the people we associate with reveal clues to our deeper selves
Recognize a method to the madness of air travel with a visualization of civilian air traffic
Find out how researchers investigate unknown phenomena, from initial sketches to published papers
Contributors include:
Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael Young.
About the Author
Julie Steele is an Editor at O'Reilly currently working on titles related to Python, SQL, PHP, web frameworks and CMS, databases (relational and non-relational), big data and cloud computing, and data visualization. She's also interested in data transparency and open government, and recently completed a master's degree in political science at Rutgers University.
Noah Illinsky has spent the last several years thinking about effective approaches to creating diagrams and other types of information visualization. He also works in interface and interaction design, all from a functional and user-centered perspective. Before becoming a designer he was a programmer for several years. He has a master's in Technical Communication from the University of Washington, and a bachelor's in Physics from Reed College.
Dimensions (Overall): 9.24 Inches (H) x 7.02 Inches (W) x .68 Inches (D)
Weight: 1.7 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 415
Genre: Computers + Internet
Sub-Genre: Data Science
Publisher: O'Reilly Media
Theme: Data Analytics
Format: Paperback
Author: Julie Steele & Noah Iliinsky
Language: English
Street Date: July 27, 2010
TCIN: 1011331729
UPC: 9781449379865
Item Number (DPCI): 247-09-7834
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.68 inches length x 7.02 inches width x 9.24 inches height
Estimated ship weight: 1.7 pounds
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